DIGITAL LIBRARY ARCHIVE
HOME > DIGITAL LIBRARY ARCHIVE
< Previous   List   Next >  
A Study on the Combined Decision Tree(C4.5) and Neural Network Algorithm for Classification of Mobile Telecommunication Customer
Full-text Download
Keukno Lee (Department of Industrial Systems and Information Engineering, Korea University)
Hongchul Lee (Department of Industrial Systems and Information Engineering, Korea University)
Vol. 9, No. 1, Page: 139 ~ 155
Keywords
Combined C4.5 and Neural Network, Classification, Prediction, Data Mining
Abstract
This paper presents the new methodology of analyzing and classifying patterns of customers in mobile telecommunication market to enhance the performance of predicting the credit information based on the decision tree and neural network. With the application of variance selection process from decision tree, the systemic process of defining input vector's value and the rule generation were developed. In point of customer management, this research analyzes current customers and produces the patterns of them so that the company can maintain good customer relationship and makes special management on the customer who has huh potential of getting out of contract in advance. The real implementation of proposed method shows that the predicted accuracy is higher than existing methods such as decision tree(CART, C4.5), regression, neural network and combined model(CART and NN).
Show/Hide Detailed Information in Korean
이동통신고객 분류를 위한 의사결정나무(C4.5)와 신경망 결합 알고리즘에 관한 연구
이극노 (고려대학교 산업시스템정보공학과)
이홍철 (고려대학교 산업시스템정보공학과)
Abstract
본 논문은 결합된 의사결정 나무(C4.5)와 신경망기법을 적용함으로써 고객의 신용에 대한 예측을 높이기 위하여 이동통신 고객의 패턴을 분류하고, 분석하는 새로운 방법에 대하여 연구하였다. 의사 결정나무(C4.5)를 형성하여 선택된 결정변수와 함께 규칙을 생성함으로써, 신경망의 입력벡터 값을 정의하는 체계적인 방법을 제시하였다. 고객 관리측면에서 본 논문은 이동 통신 회사의 기존고객을 분류하여 패턴을 분석함으로써 우수한 고객의 지속적인 관리와 이탈 가능성이 많은 고객을 차별 관리하여 기업이익을 증대시킬 수 있을 것이다. 또한 이러한 분류를 통하여 신규 고객에 반영함으로써 고객의 향후 관리에도 기여할 수 있을 것이다. 실제 이동통신 고객데이터를 중심으로 연구의 결과는 예측의 정확도가 기존의 의사결정 트리 모델 (CART, C4.5), 회귀모형, 신경망 접근 방법과 기존에 연구되었던 결합모델(CART & 신경망)보다 훨씬 높게 연구되었다.
Cite this article
JIIS Style
Lee, K., and H. Lee, "A Study on the Combined Decision Tree(C4.5) and Neural Network Algorithm for Classification of Mobile Telecommunication Customer", Journal of Intelligence and Information Systems, Vol. 9, No. 1 (2003), 139~155.

IEEE Style
Keukno Lee, and Hongchul Lee, "A Study on the Combined Decision Tree(C4.5) and Neural Network Algorithm for Classification of Mobile Telecommunication Customer", Journal of Intelligence and Information Systems, vol. 9, no. 1, pp. 139~155, 2003.

ACM Style
Lee, K., and Lee, H., 2003. A Study on the Combined Decision Tree(C4.5) and Neural Network Algorithm for Classification of Mobile Telecommunication Customer. Journal of Intelligence and Information Systems. 9, 1, 139--155.
Export Formats : BiBTeX, EndNote

Warning: include(/home/hosting_users/ev_jiisonline/www/admin/archive/advancedSearch.php) [function.include]: failed to open stream: No such file or directory in /home/hosting_users/ev_jiisonline/www/archive/detail.php on line 429

Warning: include() [function.include]: Failed opening '/home/hosting_users/ev_jiisonline/www/admin/archive/advancedSearch.php' for inclusion (include_path='.:/usr/local/php/lib/php') in /home/hosting_users/ev_jiisonline/www/archive/detail.php on line 429
@article{Lee:JIIS:2003:155,
author = {Lee, Keukno and Lee, Hongchul},
title = {A Study on the Combined Decision Tree(C4.5) and Neural Network Algorithm for Classification of Mobile Telecommunication Customer},
journal = {Journal of Intelligence and Information Systems},
issue_date = {June 2003},
volume = {9},
number = {1},
month = Jun,
year = {2003},
issn = {2288-4866},
pages = {139--155},
url = {},
doi = {},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Combined C4.5 and Neural Network, Classification, Prediction and Data Mining },
}
%0 Journal Article
%1 155
%A Keukno Lee
%A Hongchul Lee
%T A Study on the Combined Decision Tree(C4.5) and Neural Network Algorithm for Classification of Mobile Telecommunication Customer
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 9
%N 1
%P 139-155
%D 2003
%R
%I Korea Intelligent Information System Society